Distributed Dynamic Data-structures for Parallel Adaptive Mesh-reenement

Abstract

This paper presents the design and implementation of dynamic distributed data-structures to support parallel adaptive (multigrid) nite diierence codes based on hierarchical adaptive mesh-reenement (AMR) techniques for the solution of partial diieren-tial equations. The abstraction provided by the data-structures is a dynamic hierarchical grid where operations on the grid are independent of its distribution across processors in a parallel execution environment, and of the number of levels in the grid hierarchy. The distributed dynamic data-structures have been implemented as part of a computational toolkit for the Binary Black-Hole NSF Grand Challenge project.

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Cite this paper

@inproceedings{Parashar1995DistributedDD, title={Distributed Dynamic Data-structures for Parallel Adaptive Mesh-reenement}, author={Manish Parashar and James C. Browne}, year={1995} }